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PiperOrigin-RevId: 506053206
This commit is contained in:
MediaPipe Team 2023-01-31 11:01:00 -08:00 committed by Copybara-Service
parent 0863a8a1e7
commit 5730dec260
14 changed files with 1162 additions and 45 deletions
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1
mediapipe/calculators/core/BUILD
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@ -1329,6 +1329,7 @@ cc_library(
hdrs = ["merge_to_vector_calculator.h"],
deps = [
"//mediapipe/framework:calculator_framework",
"//mediapipe/framework:packet",
"//mediapipe/framework/api2:node",
"//mediapipe/framework/api2:port",
"//mediapipe/framework/formats:detection_cc_proto",

30
mediapipe/java/com/google/mediapipe/framework/PacketGetter.java
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@ -199,6 +199,28 @@ public final class PacketGetter {
return nativeGetImageData(packet.getNativeHandle(), buffer);
}
/** Returns the size of Image list. This helps to determine size of allocated ByteBuffer array. */
public static int getImageListSize(final Packet packet) {
return nativeGetImageListSize(packet.getNativeHandle());
}
/**
* Assign the native image buffer array in given ByteBuffer array. It assumes given ByteBuffer
* array has the the same size of image list packet, and assumes the output buffer stores pixels
* contiguously. It returns false if this assumption does not hold.
*
* <p>If deepCopy is true, it assumes the given buffersArray has allocated the required size of
* ByteBuffer to copy image data to. If false, the ByteBuffer will wrap the memory address of
* MediaPipe ImageFrame of graph output, and the ByteBuffer data is available only when MediaPipe
* graph is alive.
*
* <p>Note: this function does not assume the pixel format.
*/
public static boolean getImageList(
final Packet packet, ByteBuffer[] buffersArray, boolean deepCopy) {
return nativeGetImageList(packet.getNativeHandle(), buffersArray, deepCopy);
}
/**
* Converts an RGB mediapipe image frame packet to an RGBA Byte buffer.
*
@ -316,7 +338,8 @@ public final class PacketGetter {
public static GraphTextureFrame getTextureFrameDeferredSync(final Packet packet) {
return new GraphTextureFrame(
nativeGetGpuBuffer(packet.getNativeHandle(), /* waitOnCpu= */ false),
packet.getTimestamp(), /* deferredSync= */true);
packet.getTimestamp(),
/* deferredSync= */ true);
}
private static native long nativeGetPacketFromReference(long nativePacketHandle);
@ -363,6 +386,11 @@ public final class PacketGetter {
private static native boolean nativeGetImageData(long nativePacketHandle, ByteBuffer buffer);
private static native int nativeGetImageListSize(long nativePacketHandle);
private static native boolean nativeGetImageList(
long nativePacketHandle, ByteBuffer[] bufferArray, boolean deepCopy);
private static native boolean nativeGetRgbaFromRgb(long nativePacketHandle, ByteBuffer buffer);
// Retrieves the values that are in the VideoHeader.
private static native int nativeGetVideoHeaderWidth(long nativepackethandle);

15
mediapipe/java/com/google/mediapipe/framework/image/ByteBufferExtractor.java
View File

@ -50,7 +50,10 @@ public class ByteBufferExtractor {
switch (container.getImageProperties().getStorageType()) {
case MPImage.STORAGE_TYPE_BYTEBUFFER:
ByteBufferImageContainer byteBufferImageContainer = (ByteBufferImageContainer) container;
return byteBufferImageContainer.getByteBuffer().asReadOnlyBuffer();
return byteBufferImageContainer
.getByteBuffer()
.asReadOnlyBuffer()
.order(ByteOrder.nativeOrder());
default:
throw new IllegalArgumentException(
"Extract ByteBuffer from a MPImage created by objects other than Bytebuffer is not"
@ -74,7 +77,7 @@ public class ByteBufferExtractor {
* @throws IllegalArgumentException when the extraction requires unsupported format or data type
* conversions.
*/
static ByteBuffer extract(MPImage image, @MPImageFormat int targetFormat) {
public static ByteBuffer extract(MPImage image, @MPImageFormat int targetFormat) {
MPImageContainer container;
MPImageProperties byteBufferProperties =
MPImageProperties.builder()
@ -83,12 +86,16 @@ public class ByteBufferExtractor {
.build();
if ((container = image.getContainer(byteBufferProperties)) != null) {
ByteBufferImageContainer byteBufferImageContainer = (ByteBufferImageContainer) container;
return byteBufferImageContainer.getByteBuffer().asReadOnlyBuffer();
return byteBufferImageContainer
.getByteBuffer()
.asReadOnlyBuffer()
.order(ByteOrder.nativeOrder());
} else if ((container = image.getContainer(MPImage.STORAGE_TYPE_BYTEBUFFER)) != null) {
ByteBufferImageContainer byteBufferImageContainer = (ByteBufferImageContainer) container;
@MPImageFormat int sourceFormat = byteBufferImageContainer.getImageFormat();
return convertByteBuffer(byteBufferImageContainer.getByteBuffer(), sourceFormat, targetFormat)
.asReadOnlyBuffer();
.asReadOnlyBuffer()
.order(ByteOrder.nativeOrder());
} else if ((container = image.getContainer(MPImage.STORAGE_TYPE_BITMAP)) != null) {
BitmapImageContainer bitmapImageContainer = (BitmapImageContainer) container;
ByteBuffer byteBuffer =

4
mediapipe/java/com/google/mediapipe/framework/image/MPImage.java
View File

@ -67,6 +67,8 @@ public class MPImage implements Closeable {
IMAGE_FORMAT_YUV_420_888,
IMAGE_FORMAT_ALPHA,
IMAGE_FORMAT_JPEG,
IMAGE_FORMAT_VEC32F1,
IMAGE_FORMAT_VEC32F2,
})
@Retention(RetentionPolicy.SOURCE)
public @interface MPImageFormat {}
@ -81,6 +83,8 @@ public class MPImage implements Closeable {
public static final int IMAGE_FORMAT_YUV_420_888 = 7;
public static final int IMAGE_FORMAT_ALPHA = 8;
public static final int IMAGE_FORMAT_JPEG = 9;
public static final int IMAGE_FORMAT_VEC32F1 = 10;
public static final int IMAGE_FORMAT_VEC32F2 = 11;
/** Specifies the image container type. Would be useful for choosing extractors. */
@IntDef({

125
mediapipe/java/com/google/mediapipe/framework/jni/packet_getter_jni.cc
View File

@ -14,6 +14,7 @@
#include "mediapipe/java/com/google/mediapipe/framework/jni/packet_getter_jni.h"
#include "absl/status/status.h"
#include "absl/strings/str_cat.h"
#include "mediapipe/framework/calculator.pb.h"
#include "mediapipe/framework/formats/image.h"
@ -39,6 +40,52 @@ template <typename T>
const T& GetFromNativeHandle(int64_t packet_handle) {
return mediapipe::android::Graph::GetPacketFromHandle(packet_handle).Get<T>();
}
bool CopyImageDataToByteBuffer(JNIEnv* env, const mediapipe::ImageFrame& image,
jobject byte_buffer) {
int64_t buffer_size = env->GetDirectBufferCapacity(byte_buffer);
void* buffer_data = env->GetDirectBufferAddress(byte_buffer);
if (buffer_data == nullptr || buffer_size < 0) {
ThrowIfError(env, absl::InvalidArgumentError(
"input buffer does not support direct access"));
return false;
}
// Assume byte buffer stores pixel data contiguously.
const int expected_buffer_size = image.Width() * image.Height() *
image.ByteDepth() * image.NumberOfChannels();
if (buffer_size != expected_buffer_size) {
ThrowIfError(
env, absl::InvalidArgumentError(absl::StrCat(
"Expected buffer size ", expected_buffer_size,
" got: ", buffer_size, ", width ", image.Width(), ", height ",
image.Height(), ", channels ", image.NumberOfChannels())));
return false;
}
switch (image.ByteDepth()) {
case 1: {
uint8* data = static_cast<uint8*>(buffer_data);
image.CopyToBuffer(data, expected_buffer_size);
break;
}
case 2: {
uint16* data = static_cast<uint16*>(buffer_data);
image.CopyToBuffer(data, expected_buffer_size);
break;
}
case 4: {
float* data = static_cast<float*>(buffer_data);
image.CopyToBuffer(data, expected_buffer_size);
break;
}
default: {
return false;
}
}
return true;
}
} // namespace
JNIEXPORT jlong JNICALL PACKET_GETTER_METHOD(nativeGetPacketFromReference)(
@ -298,45 +345,50 @@ JNIEXPORT jboolean JNICALL PACKET_GETTER_METHOD(nativeGetImageData)(
.GetImageFrameSharedPtr()
.get()
: GetFromNativeHandle<mediapipe::ImageFrame>(packet);
int64_t buffer_size = env->GetDirectBufferCapacity(byte_buffer);
void* buffer_data = env->GetDirectBufferAddress(byte_buffer);
if (buffer_data == nullptr || buffer_size < 0) {
ThrowIfError(env, absl::InvalidArgumentError(
"input buffer does not support direct access"));
return false;
return CopyImageDataToByteBuffer(env, image, byte_buffer);
}
JNIEXPORT jint JNICALL PACKET_GETTER_METHOD(nativeGetImageListSize)(
JNIEnv* env, jobject thiz, jlong packet) {
const auto& image_list =
GetFromNativeHandle<std::vector<mediapipe::Image>>(packet);
return image_list.size();
}
JNIEXPORT jboolean JNICALL PACKET_GETTER_METHOD(nativeGetImageList)(
JNIEnv* env, jobject thiz, jlong packet, jobjectArray byte_buffer_array,
jboolean deep_copy) {
const auto& image_list =
GetFromNativeHandle<std::vector<mediapipe::Image>>(packet);
if (env->GetArrayLength(byte_buffer_array) != image_list.size()) {
ThrowIfError(env, absl::InvalidArgumentError(absl::StrCat(
"Expected ByteBuffer array size: ", image_list.size(),
" but get ByteBuffer array size: ",
env->GetArrayLength(byte_buffer_array))));
return false;
}
for (int i = 0; i < image_list.size(); ++i) {
auto& image = *image_list[i].GetImageFrameSharedPtr().get();
if (!image.IsContiguous()) {
ThrowIfError(
env, absl::InternalError("ImageFrame must store data contiguously to "
"be allocated as ByteBuffer."));
return false;
}
if (deep_copy) {
jobject byte_buffer = reinterpret_cast<jobject>(
env->GetObjectArrayElement(byte_buffer_array, i));
if (!CopyImageDataToByteBuffer(env, image, byte_buffer)) {
return false;
}
} else {
// Assume byte buffer stores pixel data contiguously.
const int expected_buffer_size = image.Width() * image.Height() *
image.ByteDepth() * image.NumberOfChannels();
if (buffer_size != expected_buffer_size) {
ThrowIfError(
env, absl::InvalidArgumentError(absl::StrCat(
"Expected buffer size ", expected_buffer_size,
" got: ", buffer_size, ", width ", image.Width(), ", height ",
image.Height(), ", channels ", image.NumberOfChannels())));
return false;
}
switch (image.ByteDepth()) {
case 1: {
uint8* data = static_cast<uint8*>(buffer_data);
image.CopyToBuffer(data, expected_buffer_size);
break;
}
case 2: {
uint16* data = static_cast<uint16*>(buffer_data);
image.CopyToBuffer(data, expected_buffer_size);
break;
}
case 4: {
float* data = static_cast<float*>(buffer_data);
image.CopyToBuffer(data, expected_buffer_size);
break;
}
default: {
return false;
image.ByteDepth() *
image.NumberOfChannels();
jobject image_data_byte_buffer = env->NewDirectByteBuffer(
image.MutablePixelData(), expected_buffer_size);
env->SetObjectArrayElement(byte_buffer_array, i, image_data_byte_buffer);
}
}
return true;
@ -415,7 +467,8 @@ JNIEXPORT jbyteArray JNICALL PACKET_GETTER_METHOD(nativeGetAudioData)(
int16 value =
static_cast<int16>(audio_mat(channel, sample) * kMultiplier);
// The java and native has the same byte order, by default is little
// Endian, we can safely copy data directly, we have tests to cover this.
// Endian, we can safely copy data directly, we have tests to cover
// this.
env->SetByteArrayRegion(byte_data, offset, 2,
reinterpret_cast<const jbyte*>(&value));
offset += 2;

11
mediapipe/java/com/google/mediapipe/framework/jni/packet_getter_jni.h
View File

@ -106,6 +106,17 @@ JNIEXPORT jint JNICALL PACKET_GETTER_METHOD(nativeGetImageHeight)(JNIEnv* env,
JNIEXPORT jboolean JNICALL PACKET_GETTER_METHOD(nativeGetImageData)(
JNIEnv* env, jobject thiz, jlong packet, jobject byte_buffer);
// Return the vector size of std::vector<Image>.
JNIEXPORT jint JNICALL PACKET_GETTER_METHOD(nativeGetImageListSize)(
JNIEnv* env, jobject thiz, jlong packet);
// Fill ByteBuffer[] from the Packet of std::vector<Image>.
// Before calling this, the byte_buffer_array needs to have the correct
// allocated size.
JNIEXPORT jboolean JNICALL PACKET_GETTER_METHOD(nativeGetImageList)(
JNIEnv* env, jobject thiz, jlong packet, jobjectArray byte_buffer_array,
jboolean deep_copy);
// Before calling this, the byte_buffer needs to have the correct allocated
// size.
JNIEXPORT jboolean JNICALL PACKET_GETTER_METHOD(nativeGetRgbaFromRgb)(

11
mediapipe/tasks/cc/vision/image_segmenter/image_segmenter_test.cc
View File

@ -257,10 +257,12 @@ TEST_F(ImageModeTest, SucceedsWithConfidenceMask) {
SimilarToFloatMask(expected_mask_float, kGoldenMaskSimilarity));
}
TEST_F(ImageModeTest, SucceedsWithRotation) {
// TODO: fix this unit test after image segmenter handled post
// processing correctly with rotated image.
TEST_F(ImageModeTest, DISABLED_SucceedsWithRotation) {
MP_ASSERT_OK_AND_ASSIGN(
Image image, DecodeImageFromFile(
JoinPath("./", kTestDataDirectory, "cat_rotated.jpg")));
Image image,
DecodeImageFromFile(JoinPath("./", kTestDataDirectory, "cat.jpg")));
auto options = std::make_unique<ImageSegmenterOptions>();
options->base_options.model_asset_path =
JoinPath("./", kTestDataDirectory, kDeeplabV3WithMetadata);
@ -271,7 +273,8 @@ TEST_F(ImageModeTest, SucceedsWithRotation) {
ImageSegmenter::Create(std::move(options)));
ImageProcessingOptions image_processing_options;
image_processing_options.rotation_degrees = -90;
MP_ASSERT_OK_AND_ASSIGN(auto confidence_masks, segmenter->Segment(image));
MP_ASSERT_OK_AND_ASSIGN(auto confidence_masks,
segmenter->Segment(image, image_processing_options));
EXPECT_EQ(confidence_masks.size(), 21);
cv::Mat expected_mask =

25
mediapipe/tasks/java/com/google/mediapipe/tasks/vision/BUILD
View File

@ -44,6 +44,7 @@ cc_binary(
"//mediapipe/tasks/cc/vision/gesture_recognizer:gesture_recognizer_graph",
"//mediapipe/tasks/cc/vision/image_classifier:image_classifier_graph",
"//mediapipe/tasks/cc/vision/image_embedder:image_embedder_graph",
"//mediapipe/tasks/cc/vision/image_segmenter:image_segmenter_graph",
"//mediapipe/tasks/cc/vision/object_detector:object_detector_graph",
"//mediapipe/tasks/java/com/google/mediapipe/tasks/core/jni:model_resources_cache_jni",
],
@ -176,6 +177,30 @@ android_library(
],
)
android_library(
name = "imagesegmenter",
srcs = [
"imagesegmenter/ImageSegmenter.java",
"imagesegmenter/ImageSegmenterResult.java",
],
javacopts = [
"-Xep:AndroidJdkLibsChecker:OFF",
],
manifest = "imagesegmenter/AndroidManifest.xml",
deps = [
":core",
"//mediapipe/framework:calculator_options_java_proto_lite",
"//mediapipe/java/com/google/mediapipe/framework:android_framework",
"//mediapipe/java/com/google/mediapipe/framework/image",
"//mediapipe/tasks/cc/core/proto:base_options_java_proto_lite",
"//mediapipe/tasks/cc/vision/image_segmenter/proto:image_segmenter_graph_options_java_proto_lite",
"//mediapipe/tasks/cc/vision/image_segmenter/proto:segmenter_options_java_proto_lite",
"//mediapipe/tasks/java/com/google/mediapipe/tasks/core",
"//third_party:autovalue",
"@maven//:com_google_guava_guava",
],
)
android_library(
name = "imageembedder",
srcs = [

8
mediapipe/tasks/java/com/google/mediapipe/tasks/vision/imagesegmenter/AndroidManifest.xml Normal file
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@ -0,0 +1,8 @@
<?xml version="1.0" encoding="utf-8"?>
<manifest xmlns:android="http://schemas.android.com/apk/res/android"
package="com.google.mediapipe.tasks.vision.imagesegmenter">
<uses-sdk android:minSdkVersion="24"
android:targetSdkVersion="30" />
</manifest>

462
mediapipe/tasks/java/com/google/mediapipe/tasks/vision/imagesegmenter/ImageSegmenter.java Normal file
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@ -0,0 +1,462 @@
// Copyright 2023 The MediaPipe Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package com.google.mediapipe.tasks.vision.imagesegmenter;
import android.content.Context;
import com.google.auto.value.AutoValue;
import com.google.mediapipe.proto.CalculatorOptionsProto.CalculatorOptions;
import com.google.mediapipe.framework.AndroidPacketGetter;
import com.google.mediapipe.framework.MediaPipeException;
import com.google.mediapipe.framework.Packet;
import com.google.mediapipe.framework.PacketGetter;
import com.google.mediapipe.framework.image.BitmapImageBuilder;
import com.google.mediapipe.framework.image.ByteBufferImageBuilder;
import com.google.mediapipe.framework.image.MPImage;
import com.google.mediapipe.tasks.core.BaseOptions;
import com.google.mediapipe.tasks.core.ErrorListener;
import com.google.mediapipe.tasks.core.OutputHandler;
import com.google.mediapipe.tasks.core.OutputHandler.ResultListener;
import com.google.mediapipe.tasks.core.TaskInfo;
import com.google.mediapipe.tasks.core.TaskOptions;
import com.google.mediapipe.tasks.core.TaskRunner;
import com.google.mediapipe.tasks.core.proto.BaseOptionsProto;
import com.google.mediapipe.tasks.vision.core.BaseVisionTaskApi;
import com.google.mediapipe.tasks.vision.core.ImageProcessingOptions;
import com.google.mediapipe.tasks.vision.core.RunningMode;
import com.google.mediapipe.tasks.vision.imagesegmenter.proto.ImageSegmenterGraphOptionsProto;
import com.google.mediapipe.tasks.vision.imagesegmenter.proto.SegmenterOptionsProto;
import java.nio.ByteBuffer;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
import java.util.Optional;
/**
* Performs image segmentation on images.
*
* <p>Note that, unlike other vision tasks, the output of ImageSegmenter is provided through a
* user-defined callback function even for the synchronous API. This makes it possible for
* ImageSegmenter to return the output masks without any copy. {@link ResultListener} must be set in
* the {@link ImageSegmenterOptions} for all {@link RunningMode}.
*
* <p>The API expects a TFLite model with,<a
* href="https://www.tensorflow.org/lite/convert/metadata">TFLite Model Metadata.</a>.
*
* <ul>
* <li>Input image {@link MPImage}
* <ul>
* <li>The image that image segmenter runs on.
* </ul>
* <li>Output ImageSegmenterResult {@link ImageSgmenterResult}
* <ul>
* <li>An ImageSegmenterResult containing segmented masks.
* </ul>
* </ul>
*/
public final class ImageSegmenter extends BaseVisionTaskApi {
private static final String TAG = ImageSegmenter.class.getSimpleName();
private static final String IMAGE_IN_STREAM_NAME = "image_in";
private static final String NORM_RECT_IN_STREAM_NAME = "norm_rect_in";
private static final List<String> INPUT_STREAMS =
Collections.unmodifiableList(
Arrays.asList("IMAGE:" + IMAGE_IN_STREAM_NAME, "NORM_RECT:" + NORM_RECT_IN_STREAM_NAME));
private static final List<String> OUTPUT_STREAMS =
Collections.unmodifiableList(
Arrays.asList(
"GROUPED_SEGMENTATION:segmented_mask_out",
"IMAGE:image_out",
"SEGMENTATION:0:segmentation"));
private static final int GROUPED_SEGMENTATION_OUT_STREAM_INDEX = 0;
private static final int IMAGE_OUT_STREAM_INDEX = 1;
private static final int SEGMENTATION_OUT_STREAM_INDEX = 2;
private static final String TASK_GRAPH_NAME =
"mediapipe.tasks.vision.image_segmenter.ImageSegmenterGraph";
/**
* Creates an {@link ImageSegmenter} instance from an {@link ImageSegmenterOptions}.
*
* @param context an Android {@link Context}.
* @param segmenterOptions an {@link ImageSegmenterOptions} instance.
* @throws MediaPipeException if there is an error during {@link ImageSegmenter} creation.
*/
public static ImageSegmenter createFromOptions(
Context context, ImageSegmenterOptions segmenterOptions) {
// TODO: Consolidate OutputHandler and TaskRunner.
OutputHandler<ImageSegmenterResult, MPImage> handler = new OutputHandler<>();
handler.setOutputPacketConverter(
new OutputHandler.OutputPacketConverter<ImageSegmenterResult, MPImage>() {
@Override
public ImageSegmenterResult convertToTaskResult(List<Packet> packets)
throws MediaPipeException {
if (packets.get(GROUPED_SEGMENTATION_OUT_STREAM_INDEX).isEmpty()) {
return ImageSegmenterResult.create(
new ArrayList<>(),
packets.get(GROUPED_SEGMENTATION_OUT_STREAM_INDEX).getTimestamp());
}
List<MPImage> segmentedMasks = new ArrayList<>();
int width = PacketGetter.getImageWidth(packets.get(SEGMENTATION_OUT_STREAM_INDEX));
int height = PacketGetter.getImageHeight(packets.get(SEGMENTATION_OUT_STREAM_INDEX));
int imageFormat =
segmenterOptions.outputType() == ImageSegmenterOptions.OutputType.CONFIDENCE_MASK
? MPImage.IMAGE_FORMAT_VEC32F1
: MPImage.IMAGE_FORMAT_ALPHA;
int imageListSize =
PacketGetter.getImageListSize(packets.get(GROUPED_SEGMENTATION_OUT_STREAM_INDEX));
ByteBuffer[] buffersArray = new ByteBuffer[imageListSize];
if (!PacketGetter.getImageList(
packets.get(GROUPED_SEGMENTATION_OUT_STREAM_INDEX), buffersArray, false)) {
throw new MediaPipeException(
MediaPipeException.StatusCode.INTERNAL.ordinal(),
"There is an error getting segmented masks. It usually results from incorrect"
+ " options of unsupported OutputType of given model.");
}
for (ByteBuffer buffer : buffersArray) {
ByteBufferImageBuilder builder =
new ByteBufferImageBuilder(buffer, width, height, imageFormat);
segmentedMasks.add(builder.build());
}
return ImageSegmenterResult.create(
segmentedMasks,
BaseVisionTaskApi.generateResultTimestampMs(
segmenterOptions.runningMode(),
packets.get(GROUPED_SEGMENTATION_OUT_STREAM_INDEX)));
}
@Override
public MPImage convertToTaskInput(List<Packet> packets) {
return new BitmapImageBuilder(
AndroidPacketGetter.getBitmapFromRgb(packets.get(IMAGE_OUT_STREAM_INDEX)))
.build();
}
});
handler.setResultListener(segmenterOptions.resultListener());
segmenterOptions.errorListener().ifPresent(handler::setErrorListener);
TaskRunner runner =
TaskRunner.create(
context,
TaskInfo.<ImageSegmenterOptions>builder()
.setTaskName(ImageSegmenter.class.getSimpleName())
.setTaskRunningModeName(segmenterOptions.runningMode().name())
.setTaskGraphName(TASK_GRAPH_NAME)
.setInputStreams(INPUT_STREAMS)
.setOutputStreams(OUTPUT_STREAMS)
.setTaskOptions(segmenterOptions)
.setEnableFlowLimiting(segmenterOptions.runningMode() == RunningMode.LIVE_STREAM)
.build(),
handler);
return new ImageSegmenter(runner, segmenterOptions.runningMode());
}
/**
* Constructor to initialize an {@link ImageSegmenter} from a {@link TaskRunner} and a {@link
* RunningMode}.
*
* @param taskRunner a {@link TaskRunner}.
* @param runningMode a mediapipe vision task {@link RunningMode}.
*/
private ImageSegmenter(TaskRunner taskRunner, RunningMode runningMode) {
super(taskRunner, runningMode, IMAGE_IN_STREAM_NAME, NORM_RECT_IN_STREAM_NAME);
}
/**
* Performs image segmentation on the provided single image with default image processing options,
* i.e. without any rotation applied, and the results will be available via the {@link
* ResultListener} provided in the {@link ImageSegmenterOptions}. Only use this method when the
* {@link ImageSegmenter} is created with {@link RunningMode.IMAGE}. TODO update java
* doc for input image format.
*
* <p>{@link ImageSegmenter} supports the following color space types:
*
* <ul>
* <li>{@link Bitmap.Config.ARGB_8888}
* </ul>
*
* @param image a MediaPipe {@link MPImage} object for processing.
* @throws MediaPipeException if there is an internal error.
*/
public void segment(MPImage image) {
segment(image, ImageProcessingOptions.builder().build());
}
/**
* Performs image segmentation on the provided single image, and the results will be available via
* the {@link ResultListener} provided in the {@link ImageSegmenterOptions}. Only use this method
* when the {@link ImageSegmenter} is created with {@link RunningMode.IMAGE}. TODO
* update java doc for input image format.
*
* <p>{@link HandLandmarker} supports the following color space types:
*
* <ul>
* <li>{@link Bitmap.Config.ARGB_8888}
* </ul>
*
* @param image a MediaPipe {@link MPImage} object for processing.
* @param imageProcessingOptions the {@link ImageProcessingOptions} specifying how to process the
* input image before running inference. Note that region-of-interest is <b>not</b> supported
* by this task: specifying {@link ImageProcessingOptions#regionOfInterest()} will result in
* this method throwing an IllegalArgumentException.
* @throws IllegalArgumentException if the {@link ImageProcessingOptions} specify a
* region-of-interest.
* @throws MediaPipeException if there is an internal error.
*/
public void segment(MPImage image, ImageProcessingOptions imageProcessingOptions) {
validateImageProcessingOptions(imageProcessingOptions);
ImageSegmenterResult unused =
(ImageSegmenterResult) processImageData(image, imageProcessingOptions);
}
/**
* Performs image segmentation on the provided video frame with default image processing options,
* i.e. without any rotation applied, and the results will be available via the {@link
* ResultListener} provided in the {@link ImageSegmenterOptions}. Only use this method when the
* {@link HandLandmarker} is created with {@link RunningMode.VIDEO}.
*
* <p>It's required to provide the video frame's timestamp (in milliseconds). The input timestamps
* must be monotonically increasing.
*
* <p>{@link ImageSegmenter} supports the following color space types:
*
* <ul>
* <li>{@link Bitmap.Config.ARGB_8888}
* </ul>
*
* @param image a MediaPipe {@link MPImage} object for processing.
* @param timestampMs the input timestamp (in milliseconds).
* @throws MediaPipeException if there is an internal error.
*/
public void segmentForVideo(MPImage image, long timestampMs) {
segmentForVideo(image, ImageProcessingOptions.builder().build(), timestampMs);
}
/**
* Performs image segmentation on the provided video frame, and the results will be available via
* the {@link ResultListener} provided in the {@link ImageSegmenterOptions}. Only use this method
* when the {@link ImageSegmenter} is created with {@link RunningMode.VIDEO}.
*
* <p>It's required to provide the video frame's timestamp (in milliseconds). The input timestamps
* must be monotonically increasing.
*
* <p>{@link HandLandmarker} supports the following color space types:
*
* <ul>
* <li>{@link Bitmap.Config.ARGB_8888}
* </ul>
*
* @param image a MediaPipe {@link MPImage} object for processing.
* @param imageProcessingOptions the {@link ImageProcessingOptions} specifying how to process the
* input image before running inference. Note that region-of-interest is <b>not</b> supported
* by this task: specifying {@link ImageProcessingOptions#regionOfInterest()} will result in
* this method throwing an IllegalArgumentException.
* @param timestampMs the input timestamp (in milliseconds).
* @throws IllegalArgumentException if the {@link ImageProcessingOptions} specify a
* region-of-interest.
* @throws MediaPipeException if there is an internal error.
*/
public void segmentForVideo(
MPImage image, ImageProcessingOptions imageProcessingOptions, long timestampMs) {
validateImageProcessingOptions(imageProcessingOptions);
ImageSegmenterResult unused =
(ImageSegmenterResult) processVideoData(image, imageProcessingOptions, timestampMs);
}
/**
* Sends live image data to perform hand landmarks detection with default image processing
* options, i.e. without any rotation applied, and the results will be available via the {@link
* ResultListener} provided in the {@link ImageSegmenterOptions}. Only use this method when the
* {@link ImageSegmenter } is created with {@link RunningMode.LIVE_STREAM}.
*
* <p>It's required to provide a timestamp (in milliseconds) to indicate when the input image is
* sent to the image segmenter. The input timestamps must be monotonically increasing.
*
* <p>{@link ImageSegmenter} supports the following color space types:
*
* <ul>
* <li>{@link Bitmap.Config.ARGB_8888}
* </ul>
*
* @param image a MediaPipe {@link MPImage} object for processing.
* @param timestampMs the input timestamp (in milliseconds).
* @throws MediaPipeException if there is an internal error.
*/
public void segmentAsync(MPImage image, long timestampMs) {
segmentAsync(image, ImageProcessingOptions.builder().build(), timestampMs);
}
/**
* Sends live image data to perform image segmentation, and the results will be available via the
* {@link ResultListener} provided in the {@link ImageSegmenterOptions}. Only use this method when
* the {@link ImageSegmenter} is created with {@link RunningMode.LIVE_STREAM}.
*
* <p>It's required to provide a timestamp (in milliseconds) to indicate when the input image is
* sent to the image segmenter. The input timestamps must be monotonically increasing.
*
* <p>{@link ImageSegmenter} supports the following color space types:
*
* <ul>
* <li>{@link Bitmap.Config.ARGB_8888}
* </ul>
*
* @param image a MediaPipe {@link MPImage} object for processing.
* @param imageProcessingOptions the {@link ImageProcessingOptions} specifying how to process the
* input image before running inference. Note that region-of-interest is <b>not</b> supported
* by this task: specifying {@link ImageProcessingOptions#regionOfInterest()} will result in
* this method throwing an IllegalArgumentException.
* @param timestampMs the input timestamp (in milliseconds).
* @throws IllegalArgumentException if the {@link ImageProcessingOptions} specify a
* region-of-interest.
* @throws MediaPipeException if there is an internal error.
*/
public void segmentAsync(
MPImage image, ImageProcessingOptions imageProcessingOptions, long timestampMs) {
validateImageProcessingOptions(imageProcessingOptions);
sendLiveStreamData(image, imageProcessingOptions, timestampMs);
}
/** Options for setting up an {@link ImageSegmenter}. */
@AutoValue
public abstract static class ImageSegmenterOptions extends TaskOptions {
/** Builder for {@link ImageSegmenterOptions}. */
@AutoValue.Builder
public abstract static class Builder {
/** Sets the base options for the image segmenter task. */
public abstract Builder setBaseOptions(BaseOptions value);
/**
* Sets the running mode for the image segmenter task. Default to the image mode. Image
* segmenter has three modes:
*
* <ul>
* <li>IMAGE: The mode for segmenting image on single image inputs.
* <li>VIDEO: The mode for segmenting image on the decoded frames of a video.
* <li>LIVE_STREAM: The mode for for segmenting image on a live stream of input data, such
* as from camera. In this mode, {@code setResultListener} must be called to set up a
* listener to receive the recognition results asynchronously.
* </ul>
*/
public abstract Builder setRunningMode(RunningMode value);
/**
* The locale to use for display names specified through the TFLite Model Metadata, if any.
* Defaults to English.
*/
public abstract Builder setDisplayNamesLocale(String value);
/** The output type from image segmenter. */
public abstract Builder setOutputType(OutputType value);
/**
* Sets the {@link ResultListener} to receive the segmentation results when the graph pipeline
* is done processing an image.
*/
public abstract Builder setResultListener(
ResultListener<ImageSegmenterResult, MPImage> value);
/** Sets an optional {@link ErrorListener}}. */
public abstract Builder setErrorListener(ErrorListener value);
abstract ImageSegmenterOptions autoBuild();
/**
* Validates and builds the {@link ImageSegmenterOptions} instance.
*
* @throws IllegalArgumentException if the result listener and the running mode are not
* properly configured. The result listener should only be set when the image segmenter is
* in the live stream mode.
*/
public final ImageSegmenterOptions build() {
ImageSegmenterOptions options = autoBuild();
return options;
}
}
abstract BaseOptions baseOptions();
abstract RunningMode runningMode();
abstract String displayNamesLocale();
abstract OutputType outputType();
abstract ResultListener<ImageSegmenterResult, MPImage> resultListener();
abstract Optional<ErrorListener> errorListener();
/** The output type of segmentation results. */
public enum OutputType {
// Gives a single output mask where each pixel represents the class which
// the pixel in the original image was predicted to belong to.
CATEGORY_MASK,
// Gives a list of output masks where, for each mask, each pixel represents
// the prediction confidence, usually in the [0, 1] range.
CONFIDENCE_MASK
}
public static Builder builder() {
return new AutoValue_ImageSegmenter_ImageSegmenterOptions.Builder()
.setRunningMode(RunningMode.IMAGE)
.setDisplayNamesLocale("en")
.setOutputType(OutputType.CATEGORY_MASK)
.setResultListener((result, image) -> {});
}
/**
* Converts an {@link ImageSegmenterOptions} to a {@link CalculatorOptions} protobuf message.
*/
@Override
public CalculatorOptions convertToCalculatorOptionsProto() {
ImageSegmenterGraphOptionsProto.ImageSegmenterGraphOptions.Builder taskOptionsBuilder =
ImageSegmenterGraphOptionsProto.ImageSegmenterGraphOptions.newBuilder()
.setBaseOptions(
BaseOptionsProto.BaseOptions.newBuilder()
.setUseStreamMode(runningMode() != RunningMode.IMAGE)
.mergeFrom(convertBaseOptionsToProto(baseOptions()))
.build())
.setDisplayNamesLocale(displayNamesLocale());
SegmenterOptionsProto.SegmenterOptions.Builder segmenterOptionsBuilder =
SegmenterOptionsProto.SegmenterOptions.newBuilder();
if (outputType() == OutputType.CONFIDENCE_MASK) {
segmenterOptionsBuilder.setOutputType(
SegmenterOptionsProto.SegmenterOptions.OutputType.CONFIDENCE_MASK);
} else if (outputType() == OutputType.CATEGORY_MASK) {
segmenterOptionsBuilder.setOutputType(
SegmenterOptionsProto.SegmenterOptions.OutputType.CATEGORY_MASK);
}
// TODO: remove this once activation is handled in metadata and grpah level.
segmenterOptionsBuilder.setActivation(
SegmenterOptionsProto.SegmenterOptions.Activation.SOFTMAX);
taskOptionsBuilder.setSegmenterOptions(segmenterOptionsBuilder);
return CalculatorOptions.newBuilder()
.setExtension(
ImageSegmenterGraphOptionsProto.ImageSegmenterGraphOptions.ext,
taskOptionsBuilder.build())
.build();
}
}
/**
* Validates that the provided {@link ImageProcessingOptions} doesn't contain a
* region-of-interest.
*/
private static void validateImageProcessingOptions(
ImageProcessingOptions imageProcessingOptions) {
if (imageProcessingOptions.regionOfInterest().isPresent()) {
throw new IllegalArgumentException("ImageSegmenter doesn't support region-of-interest.");
}
}
}

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// Copyright 2023 The MediaPipe Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package com.google.mediapipe.tasks.vision.imagesegmenter;
import com.google.auto.value.AutoValue;
import com.google.mediapipe.framework.image.MPImage;
import com.google.mediapipe.tasks.core.TaskResult;
import java.util.Collections;
import java.util.List;
/** Represents the segmentation results generated by {@link ImageSegmenter}. */
@AutoValue
public abstract class ImageSegmenterResult implements TaskResult {
/**
* Creates an {@link ImageSegmenterResult} instance from a list of segmentation MPImage.
*
* @param segmentations a {@link List} of MPImage representing the segmented masks. If OutputType
* is CATEGORY_MASK, the masks will be in IMAGE_FORMAT_ALPHA format. If OutputType is
* CONFIDENCE_MASK, the masks will be in IMAGE_FORMAT_ALPHA format.
* @param timestampMs a timestamp for this result.
*/
// TODO: consolidate output formats across platforms.
static ImageSegmenterResult create(List<MPImage> segmentations, long timestampMs) {
return new AutoValue_ImageSegmenterResult(
Collections.unmodifiableList(segmentations), timestampMs);
}
public abstract List<MPImage> segmentations();
@Override
public abstract long timestampMs();
}

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<?xml version="1.0" encoding="utf-8"?>
<manifest xmlns:android="http://schemas.android.com/apk/res/android"
package="com.google.mediapipe.tasks.vision.imagesegmentertest"
android:versionCode="1"
android:versionName="1.0" >
<uses-permission android:name="android.permission.READ_EXTERNAL_STORAGE"/>
<uses-permission android:name="android.permission.WRITE_EXTERNAL_STORAGE"/>
<uses-sdk android:minSdkVersion="24"
android:targetSdkVersion="30" />
<application
android:label="imagesegmentertest"
android:name="android.support.multidex.MultiDexApplication"
android:taskAffinity="">
<uses-library android:name="android.test.runner" />
</application>
<instrumentation
android:name="com.google.android.apps.common.testing.testrunner.GoogleInstrumentationTestRunner"
android:targetPackage="com.google.mediapipe.tasks.vision.imagesegmentertest" />
</manifest>

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# Copyright 2023 The MediaPipe Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
package(default_visibility = ["//mediapipe/tasks:internal"])
licenses(["notice"])
# TODO: Enable this in OSS

427
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// Copyright 2023 The MediaPipe Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package com.google.mediapipe.tasks.vision.imagesegmenter;
import static com.google.common.truth.Truth.assertThat;
import static org.junit.Assert.assertThrows;
import android.content.res.AssetManager;
import android.graphics.Bitmap;
import android.graphics.BitmapFactory;
import android.graphics.Color;
import androidx.test.core.app.ApplicationProvider;
import androidx.test.ext.junit.runners.AndroidJUnit4;
import com.google.mediapipe.framework.MediaPipeException;
import com.google.mediapipe.framework.image.BitmapExtractor;
import com.google.mediapipe.framework.image.BitmapImageBuilder;
import com.google.mediapipe.framework.image.ByteBufferExtractor;
import com.google.mediapipe.framework.image.MPImage;
import com.google.mediapipe.tasks.core.BaseOptions;
import com.google.mediapipe.tasks.vision.core.RunningMode;
import com.google.mediapipe.tasks.vision.imagesegmenter.ImageSegmenter.ImageSegmenterOptions;
import java.io.InputStream;
import java.nio.ByteBuffer;
import java.nio.FloatBuffer;
import java.util.List;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.junit.runners.Suite;
import org.junit.runners.Suite.SuiteClasses;
/** Test for {@link ImageSegmenter}. */
@RunWith(Suite.class)
@SuiteClasses({ImageSegmenterTest.General.class, ImageSegmenterTest.RunningModeTest.class})
public class ImageSegmenterTest {
private static final String DEEPLAB_MODEL_FILE = "deeplabv3.tflite";
private static final String SELFIE_128x128_MODEL_FILE = "selfie_segm_128_128_3.tflite";
private static final String SELFIE_144x256_MODEL_FILE = "selfie_segm_144_256_3.tflite";
private static final String CAT_IMAGE = "cat.jpg";
private static final float GOLDEN_MASK_SIMILARITY = 0.96f;
private static final int MAGNIFICATION_FACTOR = 10;
@RunWith(AndroidJUnit4.class)
public static final class General extends ImageSegmenterTest {
@Test
public void segment_successWithCategoryMask() throws Exception {
final String inputImageName = "segmentation_input_rotation0.jpg";
final String goldenImageName = "segmentation_golden_rotation0.png";
MPImage expectedMaskBuffer = getImageFromAsset(goldenImageName);
ImageSegmenterOptions options =
ImageSegmenterOptions.builder()
.setBaseOptions(BaseOptions.builder().setModelAssetPath(DEEPLAB_MODEL_FILE).build())
.setOutputType(ImageSegmenterOptions.OutputType.CATEGORY_MASK)
.setResultListener(
(actualResult, inputImage) -> {
List<MPImage> segmentations = actualResult.segmentations();
assertThat(segmentations.size()).isEqualTo(1);
MPImage actualMaskBuffer = actualResult.segmentations().get(0);
verifyCategoryMask(
actualMaskBuffer,
expectedMaskBuffer,
GOLDEN_MASK_SIMILARITY,
MAGNIFICATION_FACTOR);
})
.build();
ImageSegmenter imageSegmenter =
ImageSegmenter.createFromOptions(ApplicationProvider.getApplicationContext(), options);
imageSegmenter.segment(getImageFromAsset(inputImageName));
}
@Test
public void segment_successWithConfidenceMask() throws Exception {
final String inputImageName = "cat.jpg";
final String goldenImageName = "cat_mask.jpg";
MPImage expectedMaskBuffer = getImageFromAsset(goldenImageName);
ImageSegmenterOptions options =
ImageSegmenterOptions.builder()
.setBaseOptions(BaseOptions.builder().setModelAssetPath(DEEPLAB_MODEL_FILE).build())
.setOutputType(ImageSegmenterOptions.OutputType.CONFIDENCE_MASK)
.setResultListener(
(actualResult, inputImage) -> {
List<MPImage> segmentations = actualResult.segmentations();
assertThat(segmentations.size()).isEqualTo(21);
// Cat category index 8.
MPImage actualMaskBuffer = actualResult.segmentations().get(8);
verifyConfidenceMask(
actualMaskBuffer, expectedMaskBuffer, GOLDEN_MASK_SIMILARITY);
})
.build();
ImageSegmenter imageSegmenter =
ImageSegmenter.createFromOptions(ApplicationProvider.getApplicationContext(), options);
imageSegmenter.segment(getImageFromAsset(inputImageName));
}
@Test
public void segment_successWith128x128Segmentation() throws Exception {
final String inputImageName = "mozart_square.jpg";
final String goldenImageName = "selfie_segm_128_128_3_expected_mask.jpg";
MPImage expectedMaskBuffer = getImageFromAsset(goldenImageName);
ImageSegmenterOptions options =
ImageSegmenterOptions.builder()
.setBaseOptions(
BaseOptions.builder().setModelAssetPath(SELFIE_128x128_MODEL_FILE).build())
.setOutputType(ImageSegmenterOptions.OutputType.CONFIDENCE_MASK)
.setResultListener(
(actualResult, inputImage) -> {
List<MPImage> segmentations = actualResult.segmentations();
assertThat(segmentations.size()).isEqualTo(2);
// Selfie category index 1.
MPImage actualMaskBuffer = actualResult.segmentations().get(1);
verifyConfidenceMask(
actualMaskBuffer, expectedMaskBuffer, GOLDEN_MASK_SIMILARITY);
})
.build();
ImageSegmenter imageSegmenter =
ImageSegmenter.createFromOptions(ApplicationProvider.getApplicationContext(), options);
imageSegmenter.segment(getImageFromAsset(inputImageName));
}
// TODO: enable this unit test once activation option is supported in metadata.
// @Test
// public void segment_successWith144x256Segmentation() throws Exception {
// final String inputImageName = "mozart_square.jpg";
// final String goldenImageName = "selfie_segm_144_256_3_expected_mask.jpg";
// MPImage expectedMaskBuffer = getImageFromAsset(goldenImageName);
// ImageSegmenterOptions options =
// ImageSegmenterOptions.builder()
// .setBaseOptions(
// BaseOptions.builder().setModelAssetPath(SELFIE_144x256_MODEL_FILE).build())
// .setOutputType(ImageSegmenterOptions.OutputType.CONFIDENCE_MASK)
// .setActivation(ImageSegmenterOptions.Activation.NONE)
// .setResultListener(
// (actualResult, inputImage) -> {
// List<MPImage> segmentations = actualResult.segmentations();
// assertThat(segmentations.size()).isEqualTo(1);
// MPImage actualMaskBuffer = actualResult.segmentations().get(0);
// verifyConfidenceMask(
// actualMaskBuffer, expectedMaskBuffer, GOLDEN_MASK_SIMILARITY);
// })
// .build();
// ImageSegmenter imageSegmenter =
// ImageSegmenter.createFromOptions(ApplicationProvider.getApplicationContext(),
// options);
// imageSegmenter.segment(getImageFromAsset(inputImageName));
// }
}
@RunWith(AndroidJUnit4.class)
public static final class RunningModeTest extends ImageSegmenterTest {
@Test
public void segment_failsWithCallingWrongApiInImageMode() throws Exception {
ImageSegmenterOptions options =
ImageSegmenterOptions.builder()
.setBaseOptions(BaseOptions.builder().setModelAssetPath(DEEPLAB_MODEL_FILE).build())
.setRunningMode(RunningMode.IMAGE)
.build();
ImageSegmenter imageSegmenter =
ImageSegmenter.createFromOptions(ApplicationProvider.getApplicationContext(), options);
MediaPipeException exception =
assertThrows(
MediaPipeException.class,
() ->
imageSegmenter.segmentForVideo(
getImageFromAsset(CAT_IMAGE), /* timestampsMs= */ 0));
assertThat(exception).hasMessageThat().contains("not initialized with the video mode");
exception =
assertThrows(
MediaPipeException.class,
() ->
imageSegmenter.segmentAsync(getImageFromAsset(CAT_IMAGE), /* timestampsMs= */ 0));
assertThat(exception).hasMessageThat().contains("not initialized with the live stream mode");
}
@Test
public void segment_failsWithCallingWrongApiInVideoMode() throws Exception {
ImageSegmenterOptions options =
ImageSegmenterOptions.builder()
.setBaseOptions(BaseOptions.builder().setModelAssetPath(DEEPLAB_MODEL_FILE).build())
.setRunningMode(RunningMode.VIDEO)
.build();
ImageSegmenter imageSegmenter =
ImageSegmenter.createFromOptions(ApplicationProvider.getApplicationContext(), options);
MediaPipeException exception =
assertThrows(
MediaPipeException.class, () -> imageSegmenter.segment(getImageFromAsset(CAT_IMAGE)));
assertThat(exception).hasMessageThat().contains("not initialized with the image mode");
exception =
assertThrows(
MediaPipeException.class,
() ->
imageSegmenter.segmentAsync(getImageFromAsset(CAT_IMAGE), /* timestampsMs= */ 0));
assertThat(exception).hasMessageThat().contains("not initialized with the live stream mode");
}
@Test
public void segment_failsWithCallingWrongApiInLiveSteamMode() throws Exception {
ImageSegmenterOptions options =
ImageSegmenterOptions.builder()
.setBaseOptions(BaseOptions.builder().setModelAssetPath(DEEPLAB_MODEL_FILE).build())
.setRunningMode(RunningMode.LIVE_STREAM)
.setResultListener((result, inputImage) -> {})
.build();
ImageSegmenter imageSegmenter =
ImageSegmenter.createFromOptions(ApplicationProvider.getApplicationContext(), options);
MediaPipeException exception =
assertThrows(
MediaPipeException.class, () -> imageSegmenter.segment(getImageFromAsset(CAT_IMAGE)));
assertThat(exception).hasMessageThat().contains("not initialized with the image mode");
exception =
assertThrows(
MediaPipeException.class,
() ->
imageSegmenter.segmentForVideo(
getImageFromAsset(CAT_IMAGE), /* timestampsMs= */ 0));
assertThat(exception).hasMessageThat().contains("not initialized with the video mode");
}
@Test
public void segment_successWithImageMode() throws Exception {
final String inputImageName = "cat.jpg";
final String goldenImageName = "cat_mask.jpg";
MPImage expectedMaskBuffer = getImageFromAsset(goldenImageName);
ImageSegmenterOptions options =
ImageSegmenterOptions.builder()
.setBaseOptions(BaseOptions.builder().setModelAssetPath(DEEPLAB_MODEL_FILE).build())
.setOutputType(ImageSegmenterOptions.OutputType.CONFIDENCE_MASK)
.setRunningMode(RunningMode.IMAGE)
.setResultListener(
(actualResult, inputImage) -> {
List<MPImage> segmentations = actualResult.segmentations();
assertThat(segmentations.size()).isEqualTo(21);
// Cat category index 8.
MPImage actualMaskBuffer = actualResult.segmentations().get(8);
verifyConfidenceMask(
actualMaskBuffer, expectedMaskBuffer, GOLDEN_MASK_SIMILARITY);
})
.build();
ImageSegmenter imageSegmenter =
ImageSegmenter.createFromOptions(ApplicationProvider.getApplicationContext(), options);
imageSegmenter.segment(getImageFromAsset(inputImageName));
}
@Test
public void segment_successWithVideoMode() throws Exception {
final String inputImageName = "cat.jpg";
final String goldenImageName = "cat_mask.jpg";
MPImage expectedMaskBuffer = getImageFromAsset(goldenImageName);
ImageSegmenterOptions options =
ImageSegmenterOptions.builder()
.setBaseOptions(BaseOptions.builder().setModelAssetPath(DEEPLAB_MODEL_FILE).build())
.setOutputType(ImageSegmenterOptions.OutputType.CONFIDENCE_MASK)
.setRunningMode(RunningMode.VIDEO)
.setResultListener(
(actualResult, inputImage) -> {
List<MPImage> segmentations = actualResult.segmentations();
assertThat(segmentations.size()).isEqualTo(21);
// Cat category index 8.
MPImage actualMaskBuffer = actualResult.segmentations().get(8);
verifyConfidenceMask(
actualMaskBuffer, expectedMaskBuffer, GOLDEN_MASK_SIMILARITY);
})
.build();
ImageSegmenter imageSegmenter =
ImageSegmenter.createFromOptions(ApplicationProvider.getApplicationContext(), options);
for (int i = 0; i < 3; i++) {
imageSegmenter.segmentForVideo(getImageFromAsset(inputImageName), /* timestampsMs= */ i);
}
}
@Test
public void segment_successWithLiveStreamMode() throws Exception {
final String inputImageName = "cat.jpg";
final String goldenImageName = "cat_mask.jpg";
MPImage image = getImageFromAsset(inputImageName);
MPImage expectedResult = getImageFromAsset(goldenImageName);
ImageSegmenterOptions options =
ImageSegmenterOptions.builder()
.setBaseOptions(BaseOptions.builder().setModelAssetPath(DEEPLAB_MODEL_FILE).build())
.setOutputType(ImageSegmenterOptions.OutputType.CONFIDENCE_MASK)
.setRunningMode(RunningMode.LIVE_STREAM)
.setResultListener(
(segmenterResult, inputImage) -> {
verifyConfidenceMask(
segmenterResult.segmentations().get(8),
expectedResult,
GOLDEN_MASK_SIMILARITY);
})
.build();
try (ImageSegmenter imageSegmenter =
ImageSegmenter.createFromOptions(ApplicationProvider.getApplicationContext(), options)) {
for (int i = 0; i < 3; i++) {
imageSegmenter.segmentAsync(image, /* timestampsMs= */ i);
}
}
}
@Test
public void segment_failsWithOutOfOrderInputTimestamps() throws Exception {
final String inputImageName = "cat.jpg";
final String goldenImageName = "cat_mask.jpg";
MPImage image = getImageFromAsset(inputImageName);
MPImage expectedResult = getImageFromAsset(goldenImageName);
ImageSegmenterOptions options =
ImageSegmenterOptions.builder()
.setBaseOptions(BaseOptions.builder().setModelAssetPath(DEEPLAB_MODEL_FILE).build())
.setOutputType(ImageSegmenterOptions.OutputType.CONFIDENCE_MASK)
.setRunningMode(RunningMode.LIVE_STREAM)
.setResultListener(
(segmenterResult, inputImage) -> {
verifyConfidenceMask(
segmenterResult.segmentations().get(8),
expectedResult,
GOLDEN_MASK_SIMILARITY);
})
.build();
try (ImageSegmenter imageSegmenter =
ImageSegmenter.createFromOptions(ApplicationProvider.getApplicationContext(), options)) {
imageSegmenter.segmentAsync(image, /* timestampsMs= */ 1);
MediaPipeException exception =
assertThrows(
MediaPipeException.class,
() -> imageSegmenter.segmentAsync(image, /* timestampsMs= */ 0));
assertThat(exception)
.hasMessageThat()
.contains("having a smaller timestamp than the processed timestamp");
}
}
}
private static void verifyCategoryMask(
MPImage actualMask, MPImage goldenMask, float similarityThreshold, int magnificationFactor) {
assertThat(actualMask.getWidth()).isEqualTo(goldenMask.getWidth());
assertThat(actualMask.getHeight()).isEqualTo(goldenMask.getHeight());
ByteBuffer actualMaskBuffer = ByteBufferExtractor.extract(actualMask);
Bitmap goldenMaskBitmap = BitmapExtractor.extract(goldenMask);
int consistentPixels = 0;
final int numPixels = actualMask.getWidth() * actualMask.getHeight();
actualMaskBuffer.rewind();
for (int y = 0; y < actualMask.getHeight(); y++) {
for (int x = 0; x < actualMask.getWidth(); x++) {
// RGB values are the same in the golden mask image.
consistentPixels +=
actualMaskBuffer.get() * magnificationFactor
== Color.red(goldenMaskBitmap.getPixel(x, y))
? 1
: 0;
}
}
assertThat((float) consistentPixels / numPixels).isGreaterThan(similarityThreshold);
}
private static void verifyConfidenceMask(
MPImage actualMask, MPImage goldenMask, float similarityThreshold) {
assertThat(actualMask.getWidth()).isEqualTo(goldenMask.getWidth());
assertThat(actualMask.getHeight()).isEqualTo(goldenMask.getHeight());
FloatBuffer actualMaskBuffer = ByteBufferExtractor.extract(actualMask).asFloatBuffer();
Bitmap goldenMaskBitmap = BitmapExtractor.extract(goldenMask);
FloatBuffer goldenMaskBuffer = getByteBufferFromBitmap(goldenMaskBitmap).asFloatBuffer();
assertThat(
calculateSoftIOU(
actualMaskBuffer, goldenMaskBuffer, actualMask.getWidth() * actualMask.getHeight()))
.isGreaterThan((double) similarityThreshold);
}
private static MPImage getImageFromAsset(String filePath) throws Exception {
AssetManager assetManager = ApplicationProvider.getApplicationContext().getAssets();
InputStream istr = assetManager.open(filePath);
return new BitmapImageBuilder(BitmapFactory.decodeStream(istr)).build();
}
private static ByteBuffer getByteBufferFromBitmap(Bitmap bitmap) {
ByteBuffer byteBuffer = ByteBuffer.allocateDirect(bitmap.getWidth() * bitmap.getHeight() * 4);
for (int y = 0; y < bitmap.getHeight(); y++) {
for (int x = 0; x < bitmap.getWidth(); x++) {
byteBuffer.putFloat((float) Color.red(bitmap.getPixel(x, y)) / 255.f);
}
}
byteBuffer.rewind();
return byteBuffer;
}
private static double calculateSum(FloatBuffer m) {
m.rewind();
double sum = 0;
while (m.hasRemaining()) {
sum += m.get();
}
m.rewind();
return sum;
}
private static FloatBuffer multiply(FloatBuffer m1, FloatBuffer m2, int bufferSize) {
m1.rewind();
m2.rewind();
FloatBuffer buffer = FloatBuffer.allocate(bufferSize);
while (m1.hasRemaining()) {
buffer.put(m1.get() * m2.get());
}
m1.rewind();
m2.rewind();
buffer.rewind();
return buffer;
}
private static double calculateSoftIOU(FloatBuffer m1, FloatBuffer m2, int bufferSize) {
double intersectionSum = calculateSum(multiply(m1, m2, bufferSize));
double m1m1 = calculateSum(multiply(m1, m1.duplicate(), bufferSize));
double m2m2 = calculateSum(multiply(m2, m2.duplicate(), bufferSize));
double unionSum = m1m1 + m2m2 - intersectionSum;
return unionSum > 0.0 ? intersectionSum / unionSum : 0.0;
}
}